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Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
Chemistry World

Neural network trained to classify crystal structure errors in MOF and other databases

Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found that more than 40% of the crystal structures in the databases contained ...
Visual Studio Magazine

Multi-Class Classification Using a scikit Neural Network

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...
KXAN

Equitus AI Unveils KGNN (Kajun): The First-Ever Knowledge Graph Neural Network Platform

TAMPA, FLORIDA, UNITED STATES, February 7, 2024 /EINPresswire.com/ -- The Tampa Bay company, Equitus AI announces the launch of KGNN (pronounced ‘Kajun’), the ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...